• Python Programming (Pandas, NumPy, Matplotlib, Seaborn, SciPy, Scikit-learn, Keras)
• NLP (Language Transformers)
• Machine Learning (Regression, Classification, Clustering Algorihms)
• Deep Learning (ANN, CNN, Vision Transformers)
• Statistical Analysis (Descriptive Statistics, Inferential Statistics, Time Series Analysis)
• Computer vision
• Data Visualization Tools (Tableau, Power BI, Google Data Studio, Apache Hadoop, Google BigQuery)
• Cloud Deployment (Azure VM - linux/windows)

• Experienced Data Scientist with over 2 years of expertise in utilizing machine learning, statistical modeling, and deep learning solutions to drive business insights and inform strategic decision-making. I have a proven track record of developing innovative data solutions that enhance operational efficiency and improve product accuracy. My experience includes delivering AI products with high accuracy. I am proficient in Python, SQL, and various machine learning frameworks, and I possess strong analytical and problem-solving skills.
• I offer freelance consultancy services, assisting with various PhD research projects as well as contract work for third-party organizations. Leveraging my expertise in the data science domain, I help clients address and solve complex, critical challenges in their respective fields. My experience includes collaborating with academic researchers and businesses, providing them with tailored solutions, and guiding them through data-driven decision-making processes. This blend of research-oriented and industry-driven problem-solving enables me to contribute effectively to diverse projects, helping clients achieve their objectives with precision.

Data Scientist @ Prompt Dairytech (May 2022 - Present)

• As a Data Scientist at Prompt Dairy Tech, I focus on developing machine learning ( ML) and deep learning ( DL) solutions.
• My primary responsibility involves developing AI products that benefit both dairy operations and animal healthcare.
• I analyze sensor data, perform data cleaning and preprocessing, and build and evaluate models to ensure their effectiveness and generalizability.
• I am also involved in deploying these models to implement real-world solutions within the dairy industry.
• Utilizing a range of machine learning algorithms and statistical models, I strive to achieve optimal results in the product.
• Employing statistical analysis and machine learning solutions enhances the accuracy of healthcare products and data.

Data Science Intern @ Amenity Technologies (Nov 2021 - April_2022)

• During my Data Science Internship at Amenity Technologies, I gained proficiency in Python, using it to create, assess, and fine-tune machine learning models for predictive analysis.
• I have also acquired knowledge about computer vision and deep learning solutions, which can provide superior results for image and video data.
• Moreover, I acquired expertise in statistical analysis and mastered various data visualization techniques, which proved instrumental in developing scalable and cutting-edge solutions through data mining.
• My internship experience provided valuable insights into industry-level practices and real-world project dynamics, enabling me to understand how data science is effectively applied in practical scenarios.

• This project integrates cutting-edge technologies in natural language processing ( NLP) and computer vision to develop a robust system capable of understanding and answering complex questions based on visual inputs such as X-rays, MRI scans, CT scans, and other medical imaging modalities. The solution employs BERT transformer models alongside vision transformer models.

• Developed a solution for plant disease classification and localization using pre-trained models, ResNet-50 and YOLOv8. The achieved classification accuracy is 97%, and the IoU score is 95%.